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Human Media Multifactors

A roadmap for integrating ATI Research Findings into Adaptive Learning Environments

Over the course of several years, Researches on the Learners’ Aptitudes and Treatments Interaction (ATI) has been dealt with from one angle, namely, the search for the most appropriate treatment for the identified Aptitude, However, these findings have not been used, either in terms of Cognitive Styles, Learning Styles or the diverse Characteristics of Personality.
 
However, these results have not been compiled, categorized and identified in clear directions that can be used when designing Adaptive Learning Environments; despite advocating the need to Individualized Learning and provide what is appropriate for each learner according to his/her Characteristics and Personality Traits. Adaptive Learning Environments are based on the idea of developing Specific Paths according to tests and criteria that classify these Learners according to their Personal Traits, Learning Styles, Previous Experiences or Preferences that can be identified for each learner using Standardized Measures and Tests.
 
The Current system provides a Framework for how to compile and classify the Results of the Researches conducted in the world, which were based on the Classification of Learners and gave them Experimental Treatments, then design and produce a huge database through which to merge any research result and compare it with other corresponding researches using the same Treatment or using the same Personality Traits, thus provide a tool to facilitate the work of Instructional Designers of Adaptive Learning Environments through which to provide Experimental Treatment suited to each Learner separately according to the principle of learning Individualization.